Manuscript Number : CSEIT1846158

Optimal Allocation of D-Statcom for Voltage Sag Mitigation Using an Anfis Based Approach For Ieee 30-Bus System to Improve Quality Enhancement

Authors(3) :-Pavan S Yeli, Sunil Kumar A V, Sushma S Kini

DSTATCOM is one of the equipments for voltage sag mitigation in power systems. Voltage sag has been considered as one of the most harmful power quality problem as it may significantly affect industrial production. This paper presents an Artificial Neuro fuzzy inference system (ANFIS) based approach for optimal placement of Distribution Static Compensator (DSTATCOM) to mitigate voltage sag under faults. Voltage sag under different type of short circuits has been estimated using MATLAB/SIMULINK software. Optimal location of DSTATCOM has been obtained using a feed forward neural network trained by post-fault voltage magnitude of three phases at different buses. Case studies have been performed on IEEE 30-bus system and effectiveness of proposed approach of DSTATCOM placement has been established.

Authors and Affiliations

Pavan S Yeli
M.Tech Student, Power System Engineering, EEE Department AIT, Bangalore, Karnataka, India
Sunil Kumar A V
Asst. Professor, EEE Department AIT, Bangalore, Karnataka, India
Sushma S Kini
Asst. Professor, EEE Department AIT, Bangalore, Karnataka, India

Power quality, Voltage sag mitigation, DSTATCOM, ANFIS.

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 839-844
Manuscript Number : CSEIT1846158
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Pavan S Yeli, Sunil Kumar A V, Sushma S Kini, "Optimal Allocation of D-Statcom for Voltage Sag Mitigation Using an Anfis Based Approach For Ieee 30-Bus System to Improve Quality Enhancement", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.839-844, May-June-2018. |          | BibTeX | RIS | CSV

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